Estimation of secondary household attack rates for emergent spike L452R SARS-CoV-2 variants detected by genomic surveillance at a community-based testing site in San Francisco
This study analysed the relative transmissibility (secondary household attack rate) of new “California” or “West Coast” variants.
Background: Sequencing of the SARS-CoV-2 viral genome from patient samples is an important epidemiological tool for monitoring and responding to the pandemic, including the emergence of new mutations in specific communities.
Pycro-Manager is a package that enables python control of Micro-Manager (an open-source microscopy control software) as well as the simple development of customized experiments that involve microscope hardware control integrated with real-time image processing. It is compatible with hundreds of microscope components and full microscopes. More information can be found at: https://pycro-manager.readthedocs.io/en/latest/.
Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images
Abstract: In this paper we present an alternative approach to addressing the problem of energy poverty. The private and community ownership in electricity factors of production, economic calculation, and the incentive for innovation through the price mechanism are discussed. A brief analysis on how this new approach can be used to address energy access problems in energy poor communities is done. Cases studies of the Nigerian off-grid mini-grid industry and the Ecoblock pilot project in California in the United States are discussed.
Abstract: The global COVID-19 pandemic has led to the online proliferation of health-, political-, and conspiratorial-based misinformation. Understanding the reach and belief in this misinformation is vital to managing this crisis, as well as future crises. The results from our global survey finds a troubling reach of and belief in COVID-related misinformation, as well as a correlation with those that primarily consume news from social media, and, in the United States, a strong correlation with political leaning.